Applied AI Engineer, Product & GTM

Sygaldry Technologies • San Francisco, CA

4d

About The Position

Our teams work closely together, research scientists developing quantum algorithms, systems engineers building the product, and a GTM team engaging frontier labs and industry partners. This role is the technical thread that runs through all of them. You'll work with the AI & Algorithms team to understand what the research produces, with the product and systems teams to shape simulation requirements and architecture decisions, and with the GTM team to turn technical results into materials that drive partnerships. You write real code, working inside simulation codebases, building automated analysis pipelines, and producing the technical outputs that external audiences see. You'll use agentic AI tools extensively to move fast, but you need the coding fundamentals to work directly with complex simulation infrastructure.

Requirements

• Write code daily -- pipelines, scripts, and tools, not just slide decks
• Translate complexity into clarity without losing accuracy
• Are quantitatively comfortable -- these are physics and math-heavy projections, not marketing copy
• Use AI tools aggressively but know their limits
• Move fast - partner meetings, conferences, and white paper deadlines don't wait
• Are curious about the underlying systems -- you want to understand how the simulation works, not just its outputs
• Solid Python programming (this is an engineering role, not an analyst role)

Nice To Haves

• Experience with simulation frameworks, benchmarking infrastructure, or performance analysis tools (ASTRA-sim, gem5, or similar)
• Data pipeline construction (ETL, automation, post-processing workflows)
• Data analysis and visualization (plotly, matplotlib, pandas)
• Interactive notebook experience (marimo, Jupyter) for analysis and presentation
• Technical writing ability (white papers, technical summaries)
• ML/AI domain knowledge (training, inference, model architectures, distributed systems)
• Experience producing technical materials for enterprise partnerships or investor relations
• Background in solutions engineering, technical program management, or applied systems engineering

Responsibilities

• Work directly with datacenter simulation frameworks: extract results, build post-processing pipelines, generate formatted outputs
• Build automated pipelines that transform analytical projections into charts, tables, and slide-ready assets
• Maintain authoritative projection datasets for quantum advantage across frontier AI model architectures
• Write tools that make simulation results reproducible and auditable
• Work with Quantum Algorithm experts to translate quantum resource analysis into inputs for classical simulation pipelines
• Produce performance charts, architecture diagrams, and comparison tables from simulation and analysis data
• Support white paper production with technical content, figures, and data validation
• Build and maintain dashboards tracking performance projections and simulation milestones
• Work with the systems engineering team to translate simulation results into product requirements and architecture decisions
• Produce materials for partner meetings and conference presentations
• Support demo prototypes that showcase simulation and product capabilities
• Coordinate across the AI team, product team, and GTM team to ensure technical outputs are timely and accurate

Benefits

• Visa Sponsorship - We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible.
• Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity.
• Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.
• Connection - Whether it’s company offsite or casual crew socials, we make time to connect, recharge, and have fun together.
• Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed